Segmenter is an official PyTorch implementation of a transformer architecture for semantic segmentation tasks. The model uses an improved Vision Transformer backbone trained on the ADE20K dataset and achieves state-of-the-art results with variants ranging from 7M to 27M parameters. The project is integrated into the MMSegmentation library and provides pre-trained checkpoints for download.